Mistral 7B Instruct V0.3 AWQ by Sharvin-UD

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors

Mistral 7B Instruct V0.3 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral 7B Instruct V0.3 AWQ Parameters and Internals

LLM NameMistral 7B Instruct V0.3 AWQ
Repository ๐Ÿค—https://huggingface.co/Sharvin-UD/Mistral-7B-Instruct-v0.3-AWQ 
Base Model(s)  HachiML/Mistral-7B-Instruct-v0.3-dpo-lora   HachiML/Mistral-7B-Instruct-v0.3-dpo-lora
Model Size7b
Required VRAM4.2 GB
Updated2024-09-07
MaintainerSharvin-UD
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16
Mistral 7B Instruct V0.3 AWQ (Sharvin-UD/Mistral-7B-Instruct-v0.3-AWQ)

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Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB3890541
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...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB140
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB31
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Note: green Score (e.g. "73.2") means that the model is better than Sharvin-UD/Mistral-7B-Instruct-v0.3-AWQ.

Rank the Mistral 7B Instruct V0.3 AWQ Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803